CAS MAS-IIModern Actuarial Statistics II
- MAS-II · Q1Multiple choiceCredibility (limited fluctuation, Bühlmann, Bühlmann–Straub)
For a class of risks, the expected process variance is 200 and the variance of hypothetical means is 50. A risk has 8 years of experience. Calculate the Bühlmann credibility factor.
- MAS-II · Q2Multiple choiceBayesian analysis & MCMC
Annual claim counts are Poisson(). The prior for is gamma with , . A risk has 4 claims in 2 years. Calculate the posterior mean of .
- MAS-II · Q3Multiple choiceCredibility (limited fluctuation, Bühlmann, Bühlmann–Straub)
Using limited-fluctuation credibility, the standard for full credibility is that the observed claim count be within 5% of expected with probability 90%. Claim counts are Poisson. Calculate the number of claims needed for full credibility.
- MAS-II · Q4Multiple choiceBayesian analysis & MCMC
A Metropolis sampler with a symmetric proposal is at state with target density . The proposed state has . Calculate the probability the proposal is accepted.
- MAS-II · Q5Multiple choiceStatistical learning (regularization, trees, boosting)
Which statement about regularized regression is correct?
- MAS-II · Q6Written answerCredibility (limited fluctuation, Bühlmann, Bühlmann–Straub)
Three policyholders have the following exposures and claim counts over the same period: A: 10 exposures, 3 claims; B: 30 exposures, 6 claims; C: 60 exposures, 9 claims. Assume Poisson frequency per exposure with and . Compute the Bühlmann–Straub credibility-weighted frequency for each policyholder.
- MAS-II · Q7Multiple choiceLinear mixed models
A linear mixed model for territory-level pure premium includes a fixed intercept and a random territory intercept with residual variance . If and , calculate the intraclass correlation (the correlation between two observations in the same territory).
- MAS-II · Q8Multiple choiceCredibility (limited fluctuation, Bühlmann, Bühlmann–Straub)
Full credibility for claim frequency requires 1,082 claims (from the usual , standard). If claim severity has a coefficient of variation of 2.0, calculate the full credibility standard (in claim counts) for aggregate losses.
- MAS-II · Q9Multiple choiceBayesian analysis & MCMC
A claim severity mean has a Normal(100, 400) prior. A sample of 5 claims (assume known variance 900 per claim) has sample mean 130. Calculate the Bayesian posterior mean of .
- MAS-II · Q10Multiple choiceStatistical learning (regularization, trees, boosting)
In gradient boosting for a Poisson loss model, decreasing the learning rate (shrinkage) while holding the number of trees fixed typically:
- MAS-II · Q11Written answerCredibility (limited fluctuation, Bühlmann, Bühlmann–Straub)
A workers' compensation pool has three insureds with the following exposures and claim counts over 3 years: Insured 1: 20 exposures, 5 claims; Insured 2: 50 exposures, 8 claims; Insured 3: 100 exposures, 12 claims. The pool's overall EPV is 0.15 and VHM is 0.005. (a) Compute Bühlmann–Straub credibility for each insured. (b) Compute each insured's credibility-weighted estimated frequency using the pool average as the complement of credibility. (c) Explain qualitatively how the estimates would change if VHM were larger.